東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

SLA-based, Energy-Efficient Resource...

Goudarzi, Hadi.

FindBook

Google Book

Amazon

博客來

SLA-based, Energy-Efficient Resource Management in Cloud Computing Systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	SLA-based, Energy-Efficient Resource Management in Cloud Computing Systems./
作者:	Goudarzi, Hadi.
面頁冊數:	173 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.
Contained By:	Dissertation Abstracts International75-05B(E).
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3609890
ISBN:	9781303693243

SLA-based, Energy-Efficient Resource Management in Cloud Computing Systems.
Goudarzi, Hadi.

SLA-based, Energy-Efficient Resource Management in Cloud Computing Systems. - 173 p.

Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.

Thesis (Ph.D.)--University of Southern California, 2013.

Cloud computing systems (e.g., hosting datacenters) have attracted a lot of attention in recent years. Utility computing, reliable data storage, and infrastructure-independent computing are example applications of such systems. Operational cost in these systems is highly dependent on the resource management algorithms used to assign virtual machines (VMs) to physical servers and possibly migrate them in case of power and thermal emergencies. Energy non-proportionality of IT devices in a datacenter, cooling system inefficiency, and power delivery network constraints should be considered by the resource management algorithms in order to minimize the energy cost as much as possible. Scalability of the resource assignment solution is one of the biggest concerns in designing these algorithms. This thesis examines the resource management problem in datacenters. First a centralized datacenter resource management is proposed, which considers service level agreements (SLAs) in VM placement in order to minimize the total operational cost of the datacenter. Second, a hierarchical SLA-based resource management structure is proposed, which considers the peak power constraints and cooling-related power consumption in addition to the scalability issue. The proposed hierarchical structure fits the hierarchical resource distribution in datacenters. The proposed structure is suitable to track and react to dynamic changes inside the datacenter to satisfy SLA constraints and avoid emergencies. Third, a load balancing algorithm to minimize the operational cost of a multi-datacenter cloud system is presented. Load balancing creates an opportunity to reduce the operational cost of the cloud system considering dynamic energy pricing and availability of green renewable power plants in a datacenter site.

ISBN: 9781303693243Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

SLA-based, Energy-Efficient Resource Management in Cloud Computing Systems.
LDR:02690nam a2200277 4500 001 1965748
005 20141029122204.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303693243
035 $a (MiAaPQ)AAI3609890
035 $a AAI3609890
040 $a MiAaPQ $c MiAaPQ
100 1 $a Goudarzi, Hadi. $3 2102454
245 1 0 $a SLA-based, Energy-Efficient Resource Management in Cloud Computing Systems.
300 $a 173 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.
500 $a Adviser: Massoud Pedram.
502 $a Thesis (Ph.D.)--University of Southern California, 2013.
520 $a Cloud computing systems (e.g., hosting datacenters) have attracted a lot of attention in recent years. Utility computing, reliable data storage, and infrastructure-independent computing are example applications of such systems. Operational cost in these systems is highly dependent on the resource management algorithms used to assign virtual machines (VMs) to physical servers and possibly migrate them in case of power and thermal emergencies. Energy non-proportionality of IT devices in a datacenter, cooling system inefficiency, and power delivery network constraints should be considered by the resource management algorithms in order to minimize the energy cost as much as possible. Scalability of the resource assignment solution is one of the biggest concerns in designing these algorithms. This thesis examines the resource management problem in datacenters. First a centralized datacenter resource management is proposed, which considers service level agreements (SLAs) in VM placement in order to minimize the total operational cost of the datacenter. Second, a hierarchical SLA-based resource management structure is proposed, which considers the peak power constraints and cooling-related power consumption in addition to the scalability issue. The proposed hierarchical structure fits the hierarchical resource distribution in datacenters. The proposed structure is suitable to track and react to dynamic changes inside the datacenter to satisfy SLA constraints and avoid emergencies. Third, a load balancing algorithm to minimize the operational cost of a multi-datacenter cloud system is presented. Load balancing creates an opportunity to reduce the operational cost of the cloud system considering dynamic energy pricing and availability of green renewable power plants in a datacenter site.
590 $a School code: 0208.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Computer. $3 1669061
690 $a 0544
690 $a 0464
710 2 $a University of Southern California. $b Electrical Engineering. $3 1020963
773 0 $t Dissertation Abstracts International $g 75-05B(E).
790 $a 0208
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3609890